Dr. Han has a background in semiconductors, with 5 years of experience in numerical modeling and simulation of species and charge transport in semiconducting materials and 1 and a half years of experience in statistical process control for 3D NAND memory manufacture.

Dr. Han completed her Ph.D. at the University of Massachusetts Amherst. Her research focused on numerical modeling and simulation of electron and hole transport in innovative semiconducting materials, including organic nanoparticle assemblies and hybrid perovskites, for photovoltaic devices. This involved coupled electrical and optical modeling to maximize the charge generation rate upon light exposure and photovoltaic device power conversion efficiency. She also has extensive experience in numerical modeling of species transport in ternary semiconductor quantum dots (QDs). This work provided design protocols for synthesizing thermodynamically stable ternary QDs through thermal annealing after their initial colloidal synthesis. Her Ph.D. work led to 6 publications and more than 10 conference presentations in total.

Prior to joining Exponent, Dr. Han worked as a statistical process control engineer in Intel Corporation. She has a strong background in applying state-space model and exponentially weighted moving average (EWMA) model for the development of feedforward and feedback control for 3D NAND memory production. She has significant experience with data analysis, virtual metrology development, and process control strategy development.

In addition to her strong background in computation, Dr. Han is also experienced with failure analysis of consumer electronics with experimental techniques.